| Record ID | marc_loc_2016/BooksAll.2016.part35.utf8:140091620:1457 |
| Source | Library of Congress |
| Download Link | /show-records/marc_loc_2016/BooksAll.2016.part35.utf8:140091620:1457?format=raw |
LEADER: 01457cam a2200325 a 4500
001 2008038057
003 DLC
005 20091217084541.0
008 080827s2010 flua b 001 0 eng
010 $a 2008038057
020 $a9780849375538 (alk. paper)
020 $a0849375533 (alk. paper)
035 $a(OCoLC)ocn249133624
040 $aDLC$cDLC$dC#P$dBWX$dCDX$dOKU$dDLC
050 00 $aTJ217.5$b.W355 2010
082 00 $a629.8$222
100 1 $aWang, Cong.
245 10 $aDeterministic learning theory for identification, recognition, and control /$cCong Wang, David J. Hill.
250 $a1st ed.
260 $aBoca Raton :$bCRC Press,$cc2010.
300 $axix, 195 p. :$bill. ;$c25 cm.
490 1 $aAutomation and control engineering ;$v32
504 $aIncludes bibliographical references and index.
505 0 $aRBF network approximation and persistence of excitation -- The deterministic learning mechanism -- Deterministic learning from closed-loop control -- Dynamical pattern recognition -- Pattern-based intelligent control -- Deterministic learning with output measurements -- Toward human-like learning and control.
650 0 $aIntelligent control systems.
650 0 $aNeural networks (Computer science)
650 0 $aControl theory.
700 1 $aHill, David J.$q(David John),$d1949-
830 0 $aAutomation and control engineering ;$v32.
856 41 $3Table of contents only$uhttp://www.loc.gov/catdir/toc/ecip0827/2008038057.html